Zev Ross zross

## index.html
<!doctype html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <title>R crash course</title>
  <meta name="description" content="">
  <meta name="author" content="">
  <meta name="apple-mobile-web-app-capable" content="yes" />
  <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
  <link rel="stylesheet" href="http://slidifylibraries2.googlecode.com/git/inst/libraries/frameworks/revealjs/css/reveal.min.css">

## index.html

<!doctype html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <title>R crash course</title>
  <meta name="description" content="">
  <meta name="author" content="">
  <meta name="apple-mobile-web-app-capable" content="yes" />
  <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />

## index.html

<!doctype html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <title>R crash course</title>
  <meta name="description" content="">
  <meta name="author" content="">
  <meta name="apple-mobile-web-app-capable" content="yes" />
  <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />

## index.html

<!doctype html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <title>R crash course</title>
  <meta name="description" content="">
  <meta name="author" content="">
  <meta name="apple-mobile-web-app-capable" content="yes" />
  <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />

## ggplot_map.R
# In response to a question on our ggplot2/mapping post
# (http://zevross.com/blog/2014/07/16/mapping-in-r-using-the-ggplot2-package/)
# this is an example of using ggplot2's built-in
# borders() function and an external shapefile

# The shapefile used in that blog post is a projected shapefile
# but by default the borders() function uses unprojected
# boundaries so you will need to "unproject" the shapefile
# for the borders to match. An alternative would be to assign
# a projection with map() arguments

## ribbon
# quick example of creating a plot like that at the link below
# http://www.visualisingdata.com/index.php/2015/01/make-grey-best-friend/

x<-1:10
y<-x^2
z<-x
radius<-x/5
dat<-data.frame(x=x, y=y, z=z, radius=radius)
ggplot(dat, aes(x,y))+
  geom_ribbon(aes(ymin=y-radius, ymax=y+radius), alpha=0.5, fill="grey", color="grey", size=1)+

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>

path {
  fill: #ccc;
  stroke: #000;
}

</style>

## format_dates.md

      
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                zross
                / format_dates.md
            
            
              Last active
              August 29, 2015 14:22
            
              
                Formatting dates in R reference
              
          
    R date formatting

#strptime() to convert from character to date/time
#format() to reformat the date

format(strptime("2001-05-05", "%Y-%m-%d"), "%A %B%e, %Y")
#"Saturday May 5, 2001"

format(strptime("2001-05-05 01:05 PM", "%Y-%m-%d %I:%M %p"), "%d/%m/%Y %H:%M")

  
## east_town_mall.geojson

      
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                zross
                / east_town_mall.geojson
            
            
              Created
              October 30, 2015 19:50
            
              
                East Towne Mall
              
          
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## HTML: boilerplate
<!DOCTYPE html>
<html>
  <head>
    <title>HTML5</title>
    <meta charset="utf-8" />
    <meta name="viewport" content="width=650, user-scalable=yes">
    <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.4.1/jquery.min.js"></script>

    <!--[if IE]>
    <script src="http://html5shiv.googlecode.com/svn/trunk/html5.js"></script>
	<!doctype html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>R crash course</title>
	<meta name="description" content="">
	<meta name="author" content="">
	<meta name="apple-mobile-web-app-capable" content="yes" />
	<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
	<link rel="stylesheet" href="http://slidifylibraries2.googlecode.com/git/inst/libraries/frameworks/revealjs/css/reveal.min.css">
	# In response to a question on our ggplot2/mapping post
	# (http://zevross.com/blog/2014/07/16/mapping-in-r-using-the-ggplot2-package/)
	# this is an example of using ggplot2's built-in
	# borders() function and an external shapefile

	# The shapefile used in that blog post is a projected shapefile
	# but by default the borders() function uses unprojected
	# boundaries so you will need to "unproject" the shapefile
	# for the borders to match. An alternative would be to assign
	# a projection with map() arguments
	# quick example of creating a plot like that at the link below
	# http://www.visualisingdata.com/index.php/2015/01/make-grey-best-friend/

	x<-1:10
	y<-x^2
	z<-x
	radius<-x/5
	dat<-data.frame(x=x, y=y, z=z, radius=radius)
	ggplot(dat, aes(x,y))+
	geom_ribbon(aes(ymin=y-radius, ymax=y+radius), alpha=0.5, fill="grey", color="grey", size=1)+
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	path {
	fill: #ccc;
	stroke: #000;
	}

	</style>
	<!DOCTYPE html>
	<html>
	<head>
	<title>HTML5</title>
	<meta charset="utf-8" />
	<meta name="viewport" content="width=650, user-scalable=yes">
	<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.4.1/jquery.min.js"></script>

	<!--[if IE]>
	<script src="http://html5shiv.googlecode.com/svn/trunk/html5.js"></script>